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Swarm intelligence and bio-inspired computation : theory and applications / edited by Xin-She Yang [and four others].
- Format:
- Book
- Series:
- Elsevier insights.
- Elsevier insights Swarm intelligence and bio-inspired computation
- Language:
- English
- Subjects (All):
- Swarm intelligence.
- Natural computation.
- Computational intelligence.
- Physical Description:
- 1 online resource (xxii, 422 pages) : illustrations (some color).
- Edition:
- 1st ed.
- Place of Publication:
- Boston, Mass. : Elsevier, 2013.
- London : Elsevier, 2013.
- Language Note:
- English
- System Details:
- text file
- Summary:
- Swarm Intelligence and bio-inspired computation have become increasing popular in the last two decades. Bio-inspired algorithms such as ant colony algorithms, bat algorithms, bee algorithms, firefly algorithms, cuckoo search and particle swarm optimization have been applied in almost every area of science and engineering with a dramatic increase of number of relevant publications. This book reviews the latest developments in swarm intelligence and bio-inspired computation from both the theory and application side, providing a complete resource that analyzes and discusses the latest and futu
- Contents:
- pt. 1. Theoretical aspects of swarm intelligence and bio-inspired computing
- pt. 2. Applications and case studies.
- Notes:
- Description based upon print version of record.
- Includes bibliographical references.
- ISBN:
- 9780124051775
- 0124051774
- OCLC:
- 849921475
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